Jinxin Wang

About Me

I am a postdoc working with Erick Delage while visiting Yuehaw Khoo at UChicago. I am passionate about methods (e.g., optimization and data-driven decision-making) for real-world applications. I have worked on 1. nonconvex optimization for Cryo-EM/SLAM applications, 2. GPU-friendly 1st-order algorithms for nonlinear conic optimization problems, and 3. alignment from data science, biology, and generative AI.

I received a PhD degree in Operations Research at CUHK in Dec 2024 advised by Anthony Man-Cho So. I also got advice from Huifu Xu and Viet Anh Nguyen.

I obtained an MPhil degree in Data Science (2017-2020) from Peking University supervised by Zaiwen Wen, and a bachelor's degree in Applied Mathematics (2013-2017; Loo-Keng Hua Elite Program; minor in Finance) from Dalian University of Technology. In addition, I was an exchange student (2016-2017) under the supervision of Xin Liu at the Academy of Mathematics and Systems Science (AMSS), the Chinese Academy of Sciences (CAS).

Selected Papers

†: Corresponding author; *: Equal contribution.

Distance Profile Distance Hierarchy for Gromov-Wasserstein.
(alphabetical order) YoonHaeng Hur, Yuehaw Khoo, Jinxin Wang†.
Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming. [arxiv] (Under review)
(alphabetical order) Yunpeng Shi, Amit Singer, Jinxin Wang, Ruiyi Yang.
Restarted Accelerated Primal-Dual Algorithms with Adaptive Stepsizes for Nonlinear Conic Constrained Convex Optimization. [arxiv] (Under review)
(alphabetical order) Necdet Serhat Aybat*, Jinxin Wang*.
TriP: A Triangle Puzzle Approach to Robust Translation Averaging. [arxiv] (Under review)
Zhekai Fan, Wanze Li, Jinxin Wang, Yunpeng Shi.
Schrödinger Bridge as Robustified Optimal Transport Flows. [Short version] (Under review)
Jinxin Wang, Ya-Ping Hsieh, Bahar Taskesen.
Short version at DynaFront Workshop at NeurIPS 2025.
Bridging Convex and Nonconvex Approaches: Geodesic Strong Convexity of QCQPs from Tightness and Strict Complementarity of SDR. [Slides 2025.7]
Huikang Liu, Jinxin Wang†, Chonghe Jiang, Anthony Man-Cho So.
Randomized Submanifold Subgradient Method for Optimization over Stiefel Manifolds. [arxiv]
Andy Yat-Ming Cheung, Jinxin Wang†, Man-Chung Yue, Anthony Man-Cho So.
SIAM Journal on Optimization (SIOPT) 2026.
Decentralized Weakly Convex Optimization Over the Stiefel Manifold. [PDF]
Jinxin Wang, Jiang Hu, Shixiang Chen, Anthony Man-Cho So.
IEEE Transactions on Signal Processing (TSP) 2026. Short version at IEEE SAM 2024.
Projected Tensor Power Method for Hypergraph Community Recovery.
Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So.
Proceedings of the 40th International Conference on Machine Learning (ICML 2023).
Complexity Analysis of the Regular Simplicial Search Method with Reflection and Shrinking Steps for Derivative-Free Optimization. [arxiv]
Wei Hu, Jinxin Wang, Liyuan Cao.
Orthogonal Group Synchronization with Incomplete Measurements: Error Bounds and Linear Convergence of the Generalized Power Method. [arxiv; background video]
Linglingzhi Zhu, Jinxin Wang, Anthony Man-Cho So.
Optimization: Modeling, Algorithm and Theory (in Chinese) [Book]
I contributed to the ADMM part.
Scalable and Reliable First-Order Methods for Structured Non-Convex QCQPs. [PhD Thesis] [Slides]

Awards

Talks and Posters

Professional Services

Reviewer for

Teaching Assistant

SEEM 2440   Engineering Economics (Instructor: Dohyun Ahn), 2022 Fall, 2023 Fall
SEEM 5880   Supply Chain Management (Instructor: HO, Sin Cheung), 2022 Spring
ESTR 1005   Linear Algebra for Engineers (Instructor: Daniel Long), 2022 Spring
SEEM 5710   Principles of Operations Management (Instructor: HO, Sin Cheung), 2021 Fall
ENGG 5501   Foundations of Optimization (Instructor: Anthony Man-Cho So), 2021 Fall, 2022 Fall
SEEM 3500   Quality Control and Management (Instructor: Huifu Xu), 2021 Spring
ENGG 2760D   Probability for Engineers (Instructor: Huifu Xu, NG Chi Kong Kevin), 2020 Fall, 2023 Fall